Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis

Pietro Cipresso, V. Magagnin, M. Mauri, L. Mainardi, E. N. Brown, S. Cerutti, M. Villamira, R. Barbieri

Risultato della ricerca: Contributo in libroContributo a convegno

26 Citazioni (Scopus)

Abstract

The study of emotions elicited by human-computer interactions is a promising field that could lead to the identification of specific patterns of affective states. We present a heart rate variability (HRV) assessment of the autonomic nervous system (ANS) response and respiratory sinus arrhythmia during PC-mediated stimuli by means of standard and multivariate autoregressive spectral methods. 35 healthy volunteers were exposed to computer-mediated tasks during data collection. The stimuli were designed to elicit: relaxation (R), engagement (E) and stress (S); half of the subjects were exposed to E before S (RES) while the other to S before E (RSE). HRV measures clearly separate the ANS response among R, S and E. Less significant differences are found between E and S in RSE, suggesting that S stimuli may cause a lasting response affecting the E period. Results from the bivariate analysis indicate a disruption of the cardio-respiratory coupling during non-relax conditions.
Lingua originaleEnglish
Titolo della pubblicazione ospiteComputing in Cardiology
Pagine145-148
Numero di pagine4
Stato di pubblicazionePubblicato - 2010
EventoComputing in Cardiology 2010 - Irlanda
Durata: 26 set 201029 set 2010

Convegno

ConvegnoComputing in Cardiology 2010
CittàIrlanda
Periodo26/9/1029/9/10

Keywords

  • Computational Psychometrics
  • HRV

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